This work aimed to develop mathematical models for prediction of the compressive strength of structural concrete (20-70 MPa). The developed models are applicable, also, to mortar and cement paste. They are specified to concrete made with Portland cements conforming to the ASTM C150 (Iraqi Standard No. 5). The available models in literature comprise certain shortcomings that restricted their use to certain conditions. Therefore, the built models were designed to overcome most of these restrictions. The methodology followed in this research work consisted of: a detailed literature survey to define the effective variables involved and the process of modeling. Based on this literature, data were collected, variables were screened and transformed and models were built. Seven models were presented. Six of them were developed by multiple regression analysis and the seventh was built on the basis of dimensional analysis, which is rarely applied to simulate such problems. The models have been tested and validated with raw new data and their prediction were highly significant. An assessment for the models is made and their predictions are compared to some well-known models.
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Dr. Tareq S. Al-Attar is a Professor of Civil Engineering at the University of Technology, Iraq. He received his BSc in 1982 and MSc in 1989 from the University of Baghdad; his PhD in 2001 from the University of Technology, Iraq. His Research interests include time-dependent deformations of concrete, durability and sustainability of concrete.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work aimed to develop mathematical models for prediction of the compressive strength of structural concrete (20-70 MPa). The developed models are applicable, also, to mortar and cement paste. They are specified to concrete made with Portland cements conforming to the ASTM C150 (Iraqi Standard No. 5). The available models in literature comprise certain shortcomings that restricted their use to certain conditions. Therefore, the built models were designed to overcome most of these restrictions. The methodology followed in this research work consisted of: a detailed literature survey to define the effective variables involved and the process of modeling. Based on this literature, data were collected, variables were screened and transformed and models were built. Seven models were presented. Six of them were developed by multiple regression analysis and the seventh was built on the basis of dimensional analysis, which is rarely applied to simulate such problems. The models have been tested and validated with raw new data and their prediction were highly significant. An assessment for the models is made and their predictions are compared to some well-known models. 224 pp. Englisch. Bestandsnummer des Verkäufers 9783330799837
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Attar Tareq S.Dr. Tareq S. Al-Attar is a Professor of Civil Engineering at the University of Technology, Iraq. He received his BSc in 1982 and MSc in 1989 from the University of Baghdad his PhD in 2001 from the University of Tech. Bestandsnummer des Verkäufers 151242705
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Taschenbuch. Zustand: Neu. Mathematical Models for Prediction of Structural Concrete Strength | Modeling of Concrete Strength | Tareq S. Al-Attar | Taschenbuch | 224 S. | Englisch | 2016 | Noor Publishing | EAN 9783330799837 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 108118760
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work aimed to develop mathematical models for prediction of the compressive strength of structural concrete (20-70 MPa). The developed models are applicable, also, to mortar and cement paste. They are specified to concrete made with Portland cements conforming to the ASTM C150 (Iraqi Standard No. 5). The available models in literature comprise certain shortcomings that restricted their use to certain conditions. Therefore, the built models were designed to overcome most of these restrictions. The methodology followed in this research work consisted of: a detailed literature survey to define the effective variables involved and the process of modeling. Based on this literature, data were collected, variables were screened and transformed and models were built. Seven models were presented. Six of them were developed by multiple regression analysis and the seventh was built on the basis of dimensional analysis, which is rarely applied to simulate such problems. The models have been tested and validated with raw new data and their prediction were highly significant. An assessment for the models is made and their predictions are compared to some well-known models.Books on Demand GmbH, Überseering 33, 22297 Hamburg 224 pp. Englisch. Bestandsnummer des Verkäufers 9783330799837
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work aimed to develop mathematical models for prediction of the compressive strength of structural concrete (20-70 MPa). The developed models are applicable, also, to mortar and cement paste. They are specified to concrete made with Portland cements conforming to the ASTM C150 (Iraqi Standard No. 5). The available models in literature comprise certain shortcomings that restricted their use to certain conditions. Therefore, the built models were designed to overcome most of these restrictions. The methodology followed in this research work consisted of: a detailed literature survey to define the effective variables involved and the process of modeling. Based on this literature, data were collected, variables were screened and transformed and models were built. Seven models were presented. Six of them were developed by multiple regression analysis and the seventh was built on the basis of dimensional analysis, which is rarely applied to simulate such problems. The models have been tested and validated with raw new data and their prediction were highly significant. An assessment for the models is made and their predictions are compared to some well-known models. Bestandsnummer des Verkäufers 9783330799837
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Paperback. Zustand: Brand New. 224 pages. 8.66x5.91x0.51 inches. In Stock. Bestandsnummer des Verkäufers __3330799838
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